Digital Experience and Marketing Analyst
AutoZone Open At a glance
Mid-level Marketing Analytics role at AutoZone. Memphis · full-time · no salary stated · we estimate $85,250–$139,736 across the United States.
AutoZone has not published a salary for this role. The figure below is our estimate, not theirs.
growthroles summary, based on the employer's posting.
What you'll do
- Build pipelines, data marts, and ETL processes that combine Oracle, DB2, Postgres, Adobe Analytics, and flat files
- Create sales and gross-margin forecasts with regression, time-series, and decision-tree methods
- Deliver dashboards and KPI tracking in Looker, Power BI, Tableau, or comparable visualization tools
- Turn e-commerce, customer, product, and marketing data into recommendations for B2B and B2C initiatives
- Work with product, IT, merchandising, marketing, finance, pricing, and contractors on digital opportunities
What you bring
- A bachelor’s degree in computer science, statistics, or a closely related discipline
- At least three years working in analytics, with strong quantitative reasoning and independent problem solving
- Solid business judgment and knowledge of e-commerce and web analytics
- Experience using cloud platforms such as GCP or Azure
- Clear communication skills for presenting findings and recommendations to stakeholders
Who this fits
You’ll suit a mid-level analyst role that combines SQL, data integration, forecasting, dashboards, and stakeholder presentations. The work spans e-commerce, B2B, and B2C channels and involves collaboration across multiple organizational levels. The role is based in Memphis and is full-time.
From the employer
We are seeking a Senior Analyst experienced in analyzing digital, product and customer data. They should be comfortable building data pipelines and BI tools that make data analysis possible. You’ll play a key role in ensuring our data is accurate, accessible, and actionable, driving data-driven decisions across digital, marketing and operations. This role will provide departmental reporting, insights and recommendations to effectively support strategic eCommerce B2B and B2C initiatives. The focus for this role will be to explore, develop and implement predictive and forecasting models to improve profitability and customer service across all our brands. The expectation is the Sr. Analyst will leverage multiple data sources to deliver cohesive insights to stakeholders on category and channel trends through deep dives that uncover high impact opportunities.
- Develop statistical models such as linear regression, time series forecasting and decision trees to forecast sales and gross margins.
- Responsible for working cross-functionally with Digital Product Owners, IT, Offshore Contractors, Merchandising, Marketing (B2B and B2C), Finance, Pricing and other functional areas to achieve common objectives and help drive eCommerce opportunities.
- Generate actionable insights from data and effectively communicate recommendations to drive sales, Traffic and EBIT.
- Create interactive self-service graphical dashboards for monitoring critical KPIs using Looker, Power BI, Tableau, or other visualization tools.
- Propose KPI metrics to monitor and understand retail and commercial business.
- Write complex SQL queries for collecting and integrating data from various database sources (Oracle, DB2, Postgres, Adobe Analytics and flat files) to fulfill ad hoc analytic needs.
- Design and develop ETL strategy to create DataMart and integrate data from different sources.
- Analyze and validate data between the source and target systems for different channels of business – E-commerce, B2B, B2C by data transformations and data cleansing.
Bachelor’s degree in computer science, statistics or similar, Master’s degree plus
Minimum of 3 years of analytical experience
High business acumen and a strong understanding of e-commerce and web analytics
Experience with cloud tools like GCP/Azure
Strong communication skills and excellent interpersonal skills
Presentation of findings, including recommendations to key stakeholders
Work well with multiple levels in the organization
Strong analytic and quantitative reasoning and enjoy problem solving with relative autonomy
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